code: def __getitem__(self, idx):
      img, target = super(FlickrGrounding, self).__getitem__(idx)
      image_id = self.ids[idx]
      coco_img = self.coco.loadImgs(image_id)[0]
      file_name = coco_img["file_name"]
      caption = coco_img["caption"]
      postive_item_pos = coco_img["tokens_positive_eval"]
      dataset_name = (
          coco_img["dataset_name"]
          if "dataset_name" in coco_img
          else None
      )
      w, h = img.size
  
      # token_positive = []
      bboxes = []
      entities = []
      for anno in target:
          bbox_xywh = anno["bbox"]
          bbox_xyxy = np.array(
              [
                  bbox_xywh[0],
                  bbox_xywh[1],
                  bbox_xywh[0] + bbox_xywh[2],
                  bbox_xywh[1] + bbox_xywh[3],
              ]
          )
          bbox_xyxy[0::2].clip(min=0, max=w)
          bbox_xyxy[1::2].clip(min=0, max=h)
          bboxes.append(bbox_xyxy.tolist())
          # tokens_positive = anno["tokens_positive"]
          # token_positive.append(tokens_positive)
  
      entities = [
          remove_punctuation(caption[t[0][0] : t[0][1]].lower())
          for t in postive_item_pos
      ]
      obj_caption = ", ".join(entities)
      assert "<objs>" in self.question_prompt
      question = self.question_prompt.replace("<objs>", obj_caption)
  
      target = {
          "image_id": image_id,
          "file_name": file_name,
          "annotations": target,
          "caption": caption,
          "img_w": w,
          "img_h": h,
          "question": question,
          "bboxes": bboxes,
          "entities": entities,
      }
      if self._transforms is not None:
          img, target = self._transforms(img, target)
      target["dataset_name"] = dataset_name
      for extra_key in [
          "sentence_id",
          "original_img_id",
          "original_id",
          "task_id",
      ]:
          if extra_key in coco_img:
              target[extra_key] = coco_img[extra_key]
      return img, target
  
imports: import argparse
  from typing import Any, Tuple
  import torch
  import os
  import json
  from tqdm import tqdm
  from ferret.mm_utils import tokenizer_image_token, get_model_name_from_path, KeywordsStoppingCriteria
  from ferret.model.builder import load_pretrained_model
  from ferret.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN
  from ferret.conversation import conv_templates, SeparatorStyle
  from ferret.utils import disable_torch_init
  from PIL import Image
  import re
  import math
  import torchvision
  import numpy
  from copy import deepcopy
  from PIL import Image, ImageDraw, ImageFont
label_desc: Use image node_id 2 for calling the FlickrGrounding obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: img,  target